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Paper Citation Record · LEDGER

Theoretical Analysis of Inductive Biases in Deep Convolutional Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.08404.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.08404 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:36:20.098137Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 53e120c2-2435-4385-9cbd-1fe6c055543c · inbound

On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing cites this paper.

On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing Theoretical Analysis of Inductive Biases in Deep Convolutional Networks

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-12T15:36:20.098137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:36:20.098137Z digest=sha256:c0f0bc39d78ffd435c21fc5a278fd81e6dc56f2a2fd07a2a6d93d40b9f59280c

Observation c1638e8a-74cc-4015-90b0-4d0ace265d8f · inbound

VLTI/PIONIER imaging of post-AGB binaries. An INSPIRING hunt for inner rim substructures in circumbinary discs cites this paper.

VLTI/PIONIER imaging of post-AGB binaries. An INSPIRING hunt for inner rim substructures in circumbinary discs Theoretical Analysis of Inductive Biases in Deep Convolutional Networks

Reference 98

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T18:07:32.511785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T18:06:35.150803Z digest=sha256:e846496cb3b4db27f6c22cab9048a840dc5964c3e9b5d90f88263581db847cb9

Observation 94b5857d-f4dd-402a-bb5d-3b426759a758 · inbound

VLTI/PIONIER imaging of post-AGB binaries. An INSPIRING hunt for inner rim substructures in circumbinary discs cites this paper.

VLTI/PIONIER imaging of post-AGB binaries. An INSPIRING hunt for inner rim substructures in circumbinary discs Theoretical Analysis of Inductive Biases in Deep Convolutional Networks

Reference 283

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:07:33.655987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T18:06:35.150803Z digest=sha256:247395bf690d16cf39f9fac1aed9a5096d601cd7c7c199d73f5ea40c8a3f2b0e